Backend Engineer (Python) With Ml

5 days ago Be among the first 25 applicantsTodas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción.Can you imagine your expertise driving transformative solutions in the pharmaceutical industry?This could be the opportunity you’ve been waiting for!At ERNI, we invite you to join a transformative project in the realm of data?driven decision?making for the Pharma sector.Collaborate with professionals in a dynamic environment that values agility, autonomy, and real impact.What Makes This Project Unique?This project combines technological challenges, social relevance, and engineering depth.You’ll play a crucial role in developing a robust backend system that integrates machine learning algorithms to enhance operational efficiency in clinical trials and medication production.Your work will directly contribute to transforming operational data into actionable insights that support critical business decisions.How We Support Your GrowthCertifications: We cover the costs, and you can earn rewards for technical achievements.Knowledge Sharing: Participate in communities, training sessions, and expert meetups.Real Experience: Gain experience in regulated environments and cross?functional collaboration.What You’ll BringStrong experience in backend development using Python, particularly with frameworks like FastAPI or Flask.Proficiency in machine learning concepts and practical experience.Familiarity with data extraction and manipulation from databases like Snowflake and SQL.Experience in building user interfaces with Streamlit to create interactive data visualizations and dashboards.Understanding of DevOps practices, including Docker, CI/CD, and cloud platforms (AWS/Azure).Excellent problem?solving skills and the ability to work collaboratively in a team environment.What You’ll DoDevelop and maintain the backend of the applications, ensuring seamless integration with machine learning models.Collaborate with data engineers and business intelligence teams to ensure data reliability and security.Implement APIs for data retrieval and interaction with frontend applications built on Streamlit.Monitor and optimize the performance of machine learning algorithms in production.Our Working ModelHybrid with hands?on collaboration.Enjoy:Private health and travel insuranceFull coverage for sick leaveMonthly team lunches paid by the companySpecial team?building activitiesGym discounts + sports compensationFlexible benefits: meals, transport, childcare, etc.Referral bonuses for successful candidate placementsRemote work compensation: hardware + home office expenses23 working days of vacationFree language courses: English, Spanish, German, and Catalan.SalaryWe discuss it during the first call.xqbhyrx If it’s important to you, feel free to ask!LocationMadrid, Community of Madrid, SpainWOULD YOU LIKE TO BECOME PART OF OUR TEAM?APPLY NOW!Seniority levelNot ApplicableEmployment typeOtherJob functionEngineering and Information TechnologyIndustriesIT Services and IT Consulting#J-*****-Ljbffr

Your work will directly contribute to transforming operational data into actionable insights that support critical business decisions.How We Support Your GrowthCertifications: We cover the costs, and you can earn rewards for technical achievements.Knowledge Sharing: Participate in communities, training sessions, and expert meetups.Real Experience: Gain experience in regulated environments and cross?functional collaboration.What You’ll BringStrong experience in backend development using Python, particularly with frameworks like FastAPI or Flask.Proficiency in machine learning concepts and practical experience.Familiarity with data extraction and manipulation from databases like Snowflake and SQL.Experience in building user interfaces with Streamlit to create interactive data visualizations and dashboards.Understanding of DevOps practices, including Docker, CI/CD, and cloud platforms (AWS/Azure). Excellent problem?solving skills and the ability to work collaboratively in a team environment.What You’ll DoDevelop and maintain the backend of the applications, ensuring seamless integration with machine learning models.Collaborate with data engineers and business intelligence teams to ensure data reliability and security.Implement APIs for data retrieval and interaction with frontend applications built on Streamlit.Monitor and optimize the performance of machine learning algorithms in production.Our Working ModelHybrid with hands?on collaboration. Enjoy:Private health and travel insuranceFull coverage for sick leaveMonthly team lunches paid by the companySpecial team?building activitiesGym discounts + sports compensationFlexible benefits: meals, transport, childcare, etc.Referral bonuses for successful candidate placementsRemote work compensation: hardware + home office expenses23 working days of vacationFree language courses: English, Spanish, German, and Catalan.SalaryWe discuss it during the first call.